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Dr Sasan Barak

Lecturer in Business Analytics

Research interests

  • Financial Machine Learning (including Portfolio Optimisation, Algorithmic Trading)
  • Forecasting (Model Selection, Meta-Learning, Deep Learning)
  • Statistical and Machine Learning Algorithms in Analytics

More research

Accepting applications from PhD students.

Connect with Sasan

Email: S.Barak@soton.ac.uk

Tel: +44 23 8059 4465

ORCID

Profile photo 
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Name 
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Job title 
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Research interests (for researchers only) 
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In Pure (opens in a new tab), select ‘Edit profile’. Under the heading 'Curriculum and research description', select 'Add profile information'. In the dropdown menu, select 'Research interests: use separate lines'.

Contact details 
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ORCID ID 
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Accepting PhD applicants (for researchers only) 
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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

Dr Sasan Barak is a Lecturer (Assistant Professor) in Business Analytics within Southampton Business School, University of Southampton. He is also Departmental Head of Research (DHoR) for Decision Analytics and Risk Department. 

Dr Barak is a quant researcher with a background in Finance and Business Analytics. He teaches and conducts research in the fields of Finance Machine Learning, Forecasting, R and Python Programming, and Machine Learning in Business Analytics.

As an international lecturer, he also conducts some international lectures in the Middle East and Europe. He is also keen on entrepreneurship and launching startup companies in the fund management field.   

He has been invited as an external PhD examiner to several international universities such as the Polytechnic University of Valencia (Spain) and Rabbat Business School (Morocco).

You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.

Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.

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